ChatGPT answers, unedited

For an enterprise looking to track AI assistant visibility and measure competitive share of voice (SOV), the best platforms are currently in the emerging AI visibility / answer engine optimization (AEO) analytics category. The right choice depends on whether you need executive reporting, SEO/content workflows, PR intelligence, or deep competitive analysis.

Top enterprise options

My shortlist by enterprise use case

1. CMO / brand team measuring “Are we winning AI recommendations?”

• Profound — strongest fit if budget allows.
• Zumi — good if you want transparent metrics around mentions, position, citations, and competitor movement. www.zumihq.comseerly.app

2. SEO + content teams trying to improve AI answers

• Scrunch AI
• Semrush AI Visibility Toolkit (best if you already use Semrush broadly)
• Ahrefs Brand Radar (useful if you want overlap with traditional SEO intelligence) www.techradar.com

3. Competitive intelligence / strategy teams
Look for:

• Prompt universe management (thousands of buyer questions)
• Competitor SOV by category
• Citation source analysis
• Model-by-model differences (ChatGPT vs Gemini vs Claude vs Perplexity)
• Historical trend data

Platforms like Zumi, Seerly, and similar tools emphasize these capabilities. www.zumihq.comseerly.app

Enterprise evaluation criteria (more important than the dashboard)

A good platform should measure:

1. Mention share
   • % of relevant AI answers where your brand appears

2. Share of voice
   • Your mentions divided by total brand mentions in competitive answers

3. Position
   • Whether you are the recommended choice vs a passing mention

4. Citation ownership
   • Which websites/pages AI systems rely on when describing your category

5. Prompt segmentation
   • Separate:
     • “best vendors”
     • “alternatives to X”
     • “pricing”
     • “implementation”
     • “enterprise comparison”

6. Model coverage
   • ChatGPT
   • Claude
   • Gemini
   • Perplexity
   • Copilot
   • Google AI Overviews / AI Mode

AI visibility is not identical across engines; a brand can perform well in one model and poorly in another, so enterprise measurement should avoid a single blended score without engine-level detail. www.zumihq.com

If I were building an enterprise stack today

Large global brand:

• Profound or Scrunch AI for intelligence
• Semrush/Ahrefs for traditional search overlap
• Internal BI layer for executive reporting

B2B SaaS / technology company:

• Zumi or Seerly for AI SOV tracking
• Connect results to content, PR, and demand-gen workflows

Enterprise buying committee dashboard:
Track monthly:

• AI visibility score
• competitive SOV
• top winning prompts
• lost prompts
• competitor citation sources
• recommended content/PR actions

One important caveat: this market is still young. Vendors often use different definitions of “visibility” and “share of voice,” so I would run a 30-day bake-off with your own 200–500 highest-value buyer prompts before committing. verityscore.io

If you're evaluating this for an enterprise marketing/SEO/GEO team, my top pick today is tryprofound.com.

My ranking

Why I'd choose Profound

Profound goes beyond simply counting brand mentions. Its Answer Engine Insights tracks Visibility Score, Share of Voice, position, sentiment, and citations across major AI answer engines. Profound Profound Knowledge Base

More importantly for an enterprise competitive-intelligence program, its newer Profound Index measures:

• Share of Voice — your percentage of category visibility
• Citation Share — how often your domain is used as a source
• Co-citation Share — which sources appear alongside you
• Co-mention Share — which competitors are associated with you
• Mention Position — where you appear in AI answers
• Breakdown by topic, LLM, and market Profound

That's a much better enterprise KPI framework than a single "AI visibility score."

Profound also says its underlying index draws on 1.9B+ real user conversations across 50+ industries and major answer engines, which is particularly interesting if you want category-level benchmarking rather than only tracking your own manually selected prompts. Profound

Where Peec is compelling

peec.ai is probably the one I'd put through a head-to-head evaluation.

Its core metrics are explicitly designed around visibility, position, sentiment, and Share of Voice, with competitor comparisons at the prompt level. Peec AI Peec.ai Docs

It also has particularly useful source/citation gap analysis: you can identify domains where competitors are being cited but you aren't. That's actionable for PR, content, partnerships, and digital authority programs. Peec AI

The key distinction I'd make

If your question is:

"How much of the AI conversation does our enterprise brand own versus competitors, and how is that changing?"

I'd start with Profound.

If it's:

"Give my marketing team a really good, relatively efficient dashboard for prompts, competitors, citations and SOV."

I'd seriously consider Peec AI.

And if you're buying at enterprise scale, I wouldn't evaluate these platforms primarily on the number of LLMs they support. I'd test them on measurement methodology:

1. Prompt universe — Can you measure actual customer questions rather than an arbitrary keyword list?
2. SOV methodology — Is SOV normalized across prompts, models, markets and response length?
3. Competitive set — Can you discover competitors automatically as well as specify them?
4. Citation share — Can you distinguish being mentioned from being used as an authoritative source?
5. Positioning — Can you see whether you're the #1 recommendation versus a footnote?
6. Market segmentation — Country, language, product, business unit, persona, topic.
7. Trend stability — Can you separate genuine movement from LLM/model volatility?
8. Enterprise reporting — APIs, exports, dashboards, permissions, historical data and scheduled reporting.

Bottom line: for a Fortune-500-style AI visibility / competitive SOV program, I'd shortlist Profound + Peec and run a controlled bake-off using ~100–500 high-value prompts across your major products, competitors, markets and customer journeys. Profound is my current first choice; Peec is the challenger I'd want to see before signing. Profound Peec AI

If you tell me your industry (e.g. SaaS, financial services, healthcare, retail) and approximate enterprise size, I can give you a much more specific Profound vs. Peec vs. Scrunch comparison, including what I'd measure in the vendor demo and which one I'd buy.

It also has particularly useful source/citation gap analysis: you can identify domains where competitors are being cited but you aren't. That's actionable for PR, content, partnerships, and digital authority programs. Peec AI

The key distinction I'd make

If your question is:

"How much of the AI conversation does our enterprise brand own versus competitors, and how is that changing?"

I'd start with Profound.

If it's:

"Give my marketing team a really good, relatively efficient dashboard for prompts, competitors, citations and SOV."

I'd seriously consider Peec AI.

And if you're buying at enterprise scale, I wouldn't evaluate these platforms primarily on the number of LLMs they support. I'd test them on measurement methodology:

1. Prompt universe — Can you measure actual customer questions rather than an arbitrary keyword list?
2. SOV methodology — Is SOV normalized across prompts, models, markets and response length?
3. Competitive set — Can you discover competitors automatically as well as specify them?
4. Citation share — Can you distinguish being mentioned from being used as an authoritative source?
5. Positioning — Can you see whether you're the #1 recommendation versus a footnote?
6. Market segmentation — Country, language, product, business unit, persona, topic.
7. Trend stability — Can you separate genuine movement from LLM/model volatility?
8. Enterprise reporting — APIs, exports, dashboards, permissions, historical data and scheduled reporting.

Bottom line: for a Fortune-500-style AI visibility / competitive SOV program, I'd shortlist Profound + Peec and run a controlled bake-off using ~100–500 high-value prompts across your major products, competitors, markets and customer journeys. Profound is my current first choice; Peec is the challenger I'd want to see before signing.

If your priority is enterprise-grade tracking of AI assistant visibility + competitive share of voice, I’d shortlist Profound and Peec AI, with Profound as my default enterprise pick.

My ranking

1. Profound — my pick for a large enterprise

tryprofound.com

Profound is particularly strong if you want to turn AI visibility into an enterprise reporting and intelligence function, rather than just a dashboard.

Its Answer Engine Insights tracks Visibility Score, Share of Voice, Citation Share, Sentiment and Position, with breakdowns by platform, competitor, topic and region. It also has configurable dashboards, saved filters, PDF exports and public sharing. Profound Knowledge Base Profound Knowledge Base Profound

Its API is another important differentiator for enterprise use: you can query visibility and SOV by model and incorporate the data into your own reporting stack. Profound

Choose Profound if: you're a Fortune 500 / large B2B company, have SEO/content/brand teams, need executive reporting, or expect to integrate AI-search data into BI.

2. Peec AI — strongest alternative

peec.ai

Peec is especially compelling if your central question is:

"How much of the AI conversation do we own versus our competitors, and why?"

It explicitly tracks visibility, position, sentiment and share of voice, and lets you compare competitors side-by-side. It also identifies the sources AI systems cite, which makes it useful for translating measurement into GEO/content actions. Peec AI Peec.ai Docs

It covers major AI surfaces including ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode and Copilot, with additional models available on higher tiers. It also offers API access and Looker Studio integration. Peec AI Peec.ai Docs

Choose Peec if: marketing/SEO owns the initiative and you want a comparatively clean, focused competitive intelligence product.

What I'd measure

Don't make "mentions" your primary KPI. For an enterprise, I'd build the scorecard around:

• AI Visibility: % of relevant prompts where your brand appears
• Share of Voice: your share of all competitor brand mentions
• Position: where you appear in the answer
• Citation Share: how frequently your owned/earned sources are cited
• Sentiment: positive/neutral/negative representation
• Competitor displacement: prompts where you gain/lose against specific competitors
• Prompt-level SOV: branded vs. unbranded vs. commercial/buyer-intent prompts
• Engine-level SOV: ChatGPT vs. Gemini vs. Perplexity vs. Google AI surfaces
• Source influence: which publications/domains are driving competitor visibility

This distinction matters: visibility tells you whether you're present; SOV tells you whether you're winning the conversation. Peec and Profound both explicitly model this distinction. Peec.ai Docs Profound Knowledge Base

Bottom line

For an enterprise buying one platform today: Profound.

For a marketing/SEO organization primarily looking for competitive AI share-of-voice intelligence: Peec AI.

I'd actually run a 2–4 week bake-off between Profound and Peec using the same 200–500 high-value prompts and 5–10 competitors. The winner should be determined less by UI and more by answer reproducibility, prompt coverage, engine coverage, competitor accuracy, citation attribution, geographic segmentation, API/export quality, and how well its SOV metric matches your internal definition of "AI market share."

If you tell me your industry, approximate company size, number of brands/products, and which AI surfaces matter most (ChatGPT/Google/Perplexity/Gemini/etc.), I can give you a much more specific Profound vs. Peec vs. 2–3 alternatives recommendation.

2. Peec AI — strongest alternative

peec.ai

Peec is especially compelling if your central question is:

"How much of the AI conversation do we own versus our competitors, and why?"

It explicitly tracks visibility, position, sentiment and share of voice, and lets you compare competitors side-by-side. It also identifies the sources AI systems cite, which makes it useful for translating measurement into GEO/content actions.

It covers major AI surfaces including ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode and Copilot, with additional models available on higher tiers. It also offers API access and Looker Studio integration.

Choose Peec if: marketing/SEO owns the initiative and you want a comparatively clean, focused competitive intelligence product.

What I'd measure

If you’re evaluating this for an enterprise, my top pick is Profound—but Peec AI is probably the better choice if your primary KPI is clean, understandable competitive share of voice rather than a broader enterprise AI-search intelligence stack.

My shortlist

1. Best overall enterprise: Profound

I'd put Profound first if this is going into a global SEO/content/brand organization with multiple business units, markets and competitors.

The important distinction is that enterprise AI visibility isn't just "does ChatGPT mention us?" You want to measure:

• Share of voice against named competitors
• Visibility by prompt / intent / topic
• Position/prominence within AI answers
• Sentiment and brand framing
• Which domains and content are influencing answers
• Performance across different AI engines
• Trends over time
• Geographic/market differences
• Reporting that can roll up to executives while still allowing SEO teams to drill into individual prompts

That's the level at which I'd evaluate Profound rather than treating this as an ordinary rank tracker.

2. Best for SOV specifically: Peec AI

Peec AI is particularly compelling if your question is:

"What percentage of AI answers are we winning versus our competitors, and why?"

Peec explicitly measures visibility, average position, sentiment and share of voice, and lets you compare brands across tracked prompts and AI models. It also identifies the sources AI is citing, which is useful for turning SOV data into an actual content/authority strategy. peec.ai

I'd choose Peec if you want a clean executive dashboard + competitive intelligence rather than the most expansive enterprise platform.

3. Strong alternative: OtterlyAI

OtterlyAI has unusually broad coverage: ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Microsoft Copilot and Claude. It currently monitors these daily. help.otterly.ai

Its SOV/competitive reporting is also quite explicit: brand coverage, share of voice, sentiment, competitor ranking and domain citations are all tracked. help.otterly.ai

One thing I particularly like for enterprise measurement is that Otterly says it collects results from the actual public AI interfaces rather than relying primarily on APIs, arguing that this better represents what users see. help.otterly.ai

What I'd actually do

For an enterprise buying decision, I'd run a 2–3 week bake-off between Profound, Peec and Otterly using the same:

• 200–500 commercially important prompts
• 10–20 competitors
• 3–5 priority markets
• branded + non-branded queries
• informational + commercial + comparison intent

Then compare these six metrics:

1. AI Share of Voice
Your brand mentions / all competitor brand mentions

2. Answer prominence
Are you #1, #2, #5—or merely mentioned?

3. Citation Share of Voice
What percentage of the sources AI relies on are your domains versus competitors'?

4. Recommendation rate
How often does the assistant actually recommend you rather than merely mention you?

5. Sentiment / narrative
"Enterprise-grade leader" is very different from "an option worth considering."

6. Prompt coverage
Are you measuring the prompts that actually correspond to buyer journeys, or just a large volume of generic keywords?

My recommendation

If I had to pick one without knowing anything else about your organization:

Enterprise-wide GEO/AI intelligence → Profound
Best SOV-focused analytics → Peec AI
Best broad, practical monitoring → OtterlyAI

And I'd be careful about choosing based on number of prompts or number of LLMs tracked. The more important question is whether the platform gives you a statistically defensible answer to:

"Across the AI questions our prospective customers ask, what share of consideration are we capturing versus our competitors—and what is causing us to win or lose?"

That's the metric I'd put in the enterprise dashboard.

For an enterprise looking to track AI assistant visibility (ChatGPT, Gemini, Claude, Perplexity, Copilot, AI Overviews, etc.) and measure competitive share of voice (SOV), the strongest options today fall into a few categories. The “best” platform depends on whether you need brand intelligence, SEO/AEO operations, or executive reporting. www.ai-visibility-software.comwww.semrush.com

Top enterprise AI visibility / AI SOV platforms

My shortlist for a large enterprise

1. Best overall enterprise choice: Profound

Choose this if you need:

• Competitive SOV by prompt category
• “Why is competitor X winning?” analysis
• Citation/source gap analysis
• AI answer monitoring across engines
• Reporting for marketing leadership

The key advantage is moving beyond “are we mentioned?” into “which sources and content assets are causing competitors to win?” www.ai-visibility-software.com

2. Best if you already have SEO infrastructure: Semrush Enterprise AIO

Choose this if your organization already uses SEO/content teams and wants:

• AI visibility + traditional search visibility together
• Competitor tracking
• Integration into existing marketing workflows

Semrush specifically supports AI share-of-voice measurement by tracking brand performance across AI systems and competitors. www.ai-visibility-software.comwww.semrush.com

3. Best for executive brand measurement: Evertune

Choose this if the primary question is:

“How is our brand’s AI presence changing versus competitors quarter over quarter?”

It is more of a market intelligence product than an optimization workflow. www.ai-visibility-software.comwww.iab.com

What an enterprise should measure (beyond simple mentions)

A good platform should report:

1. AI Share of Voice
   • % of AI answers where your brand appears versus competitors

2. Recommendation share
   • How often the AI recommends you as a solution/provider

3. Citation share
   • Which domains/pages AI systems rely on for your category

4. Prompt-level competitive gaps
   • Example:
     • “best enterprise CRM”
     • “alternatives to [competitor]”
     • “software for regulated industries”

5. Sentiment / positioning
   • Are you described as a leader, challenger, budget option, niche provider, etc.?

6. Engine-level performance
   • ChatGPT may favor different sources than Gemini or Perplexity, so aggregate scores can hide important gaps. www.ai-visibility-software.comwww.semrush.com

Enterprise buying checklist

Before signing, I would require:

✅ Coverage of your priority AI assistants
(ChatGPT, Gemini, Claude, Perplexity, Copilot, Google AI features)

✅ Custom prompt libraries
(Not just vendor-generated keywords)

✅ Competitor benchmarking
(Your competitors, not generic category averages)

✅ Historical trend data
(At least 6–12 months)

✅ Citation-level diagnostics
(“Why did they win?” not just “they won”)

✅ Export/API capability
(For BI dashboards and executive reporting)

Recommendation by company profile

• Fortune 500 / global brand: Profound or Evertune
• Enterprise marketing team already using SEO platforms: Semrush Enterprise AIO
• B2B SaaS company focused on demand generation: Profound + a content workflow tool
• Agency managing many brands: Peec AI or similar multi-client platforms
• Early AI visibility program: Start with a lighter tool, then graduate once prompt volume and governance mature

One important caveat: AI SOV numbers are not yet standardized across vendors. Methodology matters — especially how each provider defines the competitive set, prompt universe, and weighting of mentions versus prominence. www.iab.com

For a true enterprise evaluation, I would run a 30-day bakeoff with 3 vendors using the same 100–500 buyer prompts, same competitors, and same AI engines, then compare:

• SOV accuracy,
• citation insights,
• reporting quality,
• and whether teams can actually act on the findings.

If you mean enterprise-grade tracking of how your brand appears in ChatGPT/Gemini/Perplexity/etc., with competitive share of voice, my top pick right now is Profound.

My ranking

1. Profound — best overall for an enterprise

Profound is the one I'd shortlist first if this is going into a serious SEO/content/brand intelligence stack.

It tracks visibility, share of voice, citation share, position, sentiment, and competitors across major answer engines. More importantly, it lets you identify competitors based on who is actually winning AI citations—not merely the competitors your marketing team already knows about. www.tryprofound.com

Its competitive layer is particularly strong:

• Share of Voice by topic, platform, region, etc.
• Visibility rank against competitors
• Citation-share benchmarking
• Prompt-level competitor comparisons
• Identification of unexpected AI competitors
• Historical competitor-change monitoring
• Head-to-head comparison of your content vs. the page getting cited
• Cross-platform analysis across ChatGPT, Gemini, Perplexity, Copilot, Claude, Grok, Meta AI, DeepSeek and others www.tryprofound.com

For an enterprise, it also has SOC 2 Type II, SSO, premium support, and enterprise infrastructure. www.tryprofound.com

A particularly interesting differentiator is its Profound Index, which uses 1.5B+ real user conversations and provides category-level benchmarks for Visibility Score, Share of Voice, Mention Position, Citation Share, Co-citation Share and Co-mention Share. www.tryprofound.com

I'd choose Profound if the question is:

"How do we measure and improve our AI market position versus competitors at enterprise scale?"

2. Peec AI — best if SoV analytics are the primary requirement

Peec AI is probably my second choice, and arguably the cleaner choice if you don't need Profound's broader content/agent infrastructure.

Its metrics are unusually explicit:

• Visibility = percentage of AI responses mentioning you
• Share of Voice = your mentions / total competitor mentions
• Position
• Sentiment
• Competitor visibility over time
• Citation/source analysis

It also provides a direct visualization of your brand versus competitors across prompts. docs.peec.aipeec.ai

Peec tracks ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini and Copilot, with additional models available on higher tiers. docs.peec.aipeec.ai

I'd choose Peec if the question is:

"Give my marketing/SEO team a really good AI-search competitive dashboard without needing a huge platform."

3. OtterlyAI — best value / straightforward monitoring

OtterlyAI is worth considering if you primarily want brand monitoring + competitor share of AI voice without buying a more expansive enterprise platform.

It covers ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot, and explicitly reports "Share of AI Voice" based on your citation share versus competitors. otterly.ai

It also has enterprise plans with higher usage limits, SSO/team management and dedicated support. help.otterly.ai

I'd choose Otterly if:

"We want reliable AI visibility monitoring and reporting, but don't need the deepest enterprise intelligence/content workflow."

What I'd actually buy

For a large enterprise, I'd run a shortlist of Profound + Peec.

The critical thing isn't just "does it mention our brand?" It's whether the platform can give you a consistent AI Share of Voice (AI-SOV) measurement:

AI-SOV = your brand mentions/citations ÷ total relevant brand mentions/citations

Then break that down by:

Market → Topic → Prompt → AI platform → Competitor → Position → Citation source → Sentiment

That's much more actionable than a single "AI visibility score."

I'd also insist on real consumer prompts / demand data rather than relying entirely on a hand-built keyword list. Profound is particularly interesting here because its Prompt Volumes product is based on large-scale real-user conversation data. www.tryprofound.com

Bottom line

Best enterprise: Profound
Best pure AI-SOV analytics: Peec AI
Best simpler/value option: OtterlyAI

If you're evaluating these for an enterprise procurement decision, I can also give you a Profound vs Peec vs Otterly scorecard across 20 criteria—coverage, prompt methodology, SoV methodology, competitive intelligence, API, SSO/SOC2, regional tracking, reporting, integrations, pricing, and data reliability.

If you mean enterprise-grade tracking of how often your company appears in ChatGPT/Gemini/Perplexity/Google AI results, plus competitive share of voice, my current shortlist is:

My pick: Profound

For a large enterprise, Profound is the platform I’d evaluate first. It is consistently positioned as the enterprise leader, with the deepest combination of AI visibility, prompt-level tracking, competitor benchmarking, citation analysis, sentiment, and reporting. Recent 2026 comparisons specifically rate it strongest for enterprise teams. technologyadvice.comwww.bushnote.com

What I'd want from it:

• AI Share of Voice: % of relevant prompts where you're mentioned vs. competitors
• Share of citations: which brands are actually being sourced
• Prompt-level visibility: e.g. “best enterprise CRM for financial services”
• Competitive gap analysis: prompts where competitors appear and you don't
• Engine/model breakdown: ChatGPT vs. Gemini vs. Perplexity vs. Google AI
• Sentiment / positioning: whether the assistant recommends you favorably
• Citation-source analysis: which publications/sites are influencing the answers
• Trend reporting: visibility and SOV over time
• Enterprise reporting/integrations: important if this needs to feed SEO, brand, PR and executive reporting

Profound's enterprise offering is particularly interesting because it goes beyond simply counting brand mentions and can incorporate prompt-volume data and how actual AI answers are generated/rendered, which makes the SOV numbers more useful for prioritization. technologyadvice.comwww.bushnote.com

The shortlist I'd put through an enterprise bake-off

TechnologyAdvice's June 2026 comparison similarly puts Profound first overall, with Otterly, Scrunch, AthenaHQ, Ahrefs and Semrush filling different niches. technologyadvice.com

One important distinction

I'd separate "AI visibility" from "AI competitive intelligence."

A lot of platforms tell you:

“Your brand appeared in 37% of tracked answers.”

That's useful, but for an enterprise I would want to answer:

“Across the questions our buyers actually ask, what percentage of the AI recommendation/citation opportunity do we own, which competitors are taking it from us, and what sources caused that?”

That means your evaluation should test SOV methodology, not just dashboard quality.

I'd specifically ask each vendor:

1. How is Share of Voice calculated?
2. Can we supply our own 500–10,000 buyer prompts?
3. Can prompts be segmented by product, market, persona, funnel stage and geography?
4. Do you distinguish being mentioned from being recommended?
5. Do you measure citation share separately from mention share?
6. Can we see which competitor displaced us on a prompt?
7. Can we identify the sources/citations responsible for competitor visibility?
8. How do you normalize results across different AI engines?
9. Can we export the underlying observations through API/BI tooling?
10. Can we connect visibility to traffic, pipeline or revenue?

That last one is particularly important. The industry still has a substantial gap between “AI mentioned us” and “AI visibility generated business.” attrifast.com

Bottom line: If you're buying one platform for a serious enterprise AI-search/GEO program, I'd start with Profound, then benchmark it against Similarweb if competitive intelligence and market-level data are important, and AthenaHQ if governance/brand safety is a major requirement.

If you tell me your industry, approximate number of brands/products, target markets, and whether you care more about ChatGPT vs. Google AI Overviews, I can narrow this to a 2–3 vendor recommendation and give you a vendor scorecard with the exact SOV metrics I'd require in an RFP.

If your goal is specifically enterprise AI-assistant visibility + competitive share of voice, I’d shortlist Scrunch, Profound, and Peec AI—with Scrunch as my default enterprise pick.

1. Scrunch — my #1 for enterprise

Scrunch is particularly strong if you want to measure “How often does AI recommend us versus competitors?” rather than simply whether your brand is mentioned.

It calculates competitive presence/share of voice from actual AI responses and lets you drill from aggregate SOV → topic → individual prompt → citations. You can segment by AI platform, topic, branded/unbranded prompts, persona, funnel stage, country, etc. scrunch.com

It currently monitors ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot, Grok, and Meta AI, which is unusually broad. helpcenter.scrunchai.com

For an enterprise, the other differentiator is infrastructure: Scrunch advertises SOC 2 Type II, SSO via SAML/OAuth, role-based access, and substantial monitoring scale. scrunch.com

Choose Scrunch if: you need a serious enterprise dashboard for competitive AI presence and want to connect visibility data to which sources/topics are driving it.

2. Profound — strongest enterprise alternative

Profound is the one I'd put through a bake-off against Scrunch for a large organization.

Its Answer Engine Insights product tracks brand visibility, analyzes actual AI responses, identifies citations, and includes tools for detecting inaccurate AI claims about your company. It explicitly supports visibility and share-of-voice metrics. www.tryprofound.comscrunch.com

Choose Profound if: you're building a broader GEO/AEO intelligence program and want deep enterprise workflows around what AI says about your company, not merely a reporting dashboard.

3. Peec AI — best clean analytics experience

Peec has especially well-defined metrics:

• Visibility — % of AI responses mentioning you
• Share of Voice — your mentions divided by total tracked-brand mentions
• Position — where you're mentioned
• Sentiment — how AI describes you

It also supports competitor benchmarking, prompt tracking, source analysis, and integrations through API/MCP. peec.ai

Choose Peec if: marketing/SEO teams will be the primary users and you want a relatively straightforward “AI visibility dashboard” rather than a heavier enterprise intelligence platform.

What I'd measure regardless of platform

Don't make “AI visibility %” your primary KPI. For an enterprise competitive program, I'd build a scorecard around:

1. Competitive Share of Voice

% of relevant AI responses/mentions belonging to your brand vs. competitors.

2. Recommendation Share

When the prompt asks “What should I buy/use?”, how often are you recommended vs. competitors?

3. Category visibility

SOV for important topics/use cases, not just your brand name.

4. Position

Are you the first recommendation, second, buried in a list, etc.?

5. Citation share

Which publishers/domains are feeding AI answers about your category, and who owns those citations?

6. Sentiment / narrative

What attributes does AI associate with you vs. competitors?

7. Prompt-level win rate

The percentage of commercially important prompts where you beat each competitor.

That last one is especially important: enterprise AI visibility should ultimately be measured at the prompt/category level, not as one giant blended score.

My recommendation

If I were running an enterprise evaluation today, I'd do a 2-week bake-off between Scrunch and Profound, with Peec as the third benchmark.

I'd give each platform the same ~500–2,000 prompts, segmented by:

• category discovery
• problem/solution
• competitive comparison
• “best X” / recommendation
• pricing
• implementation
• enterprise/vendor evaluation
• branded queries
• major customer personas

Then compare SOV accuracy, prompt coverage, engine coverage, citation intelligence, historical tracking, API/data export, and enterprise governance.

Bottom line: Scrunch is my current first choice for an enterprise whose primary objective is competitive AI share of voice; Profound is the strongest alternative if you want a deeper enterprise GEO intelligence/optimization layer. www.tryprofound.comscrunch.com

If you mean enterprise-grade AI visibility / GEO tracking—i.e., measuring how often ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, etc. mention your brand versus competitors—I’d shortlist Profound, Scrunch, and Peec AI.

My ranking

1. Profound — best overall for enterprise

Profound

I'd start here if you're buying for a large enterprise. Profound combines AI-answer visibility, competitive benchmarking, citation analysis, prompt-volume intelligence, AI crawler/agent analytics, and optimization workflows rather than treating visibility as a standalone dashboard. Its Answer Engine Insights specifically includes Visibility Score, Share of Voice, Citation Share, Sentiment, and Position, with comparisons across platforms, competitors, and topics. www.tryprofound.com

The big advantage is that you can connect "Are we visible?" → "Why?" → "Which sources influence the answer?" → "What should marketing/content do?" in one platform.

2. Scrunch — best if competitive SOV is the centerpiece

Scrunch

Scrunch is particularly compelling if your primary KPI is competitive presence/share of voice in AI answers. It calculates SOV from actual AI responses and lets you drill from aggregate competitive presence into individual prompts, topics, platforms, and citations. scrunch.com

It currently monitors nine major platforms, including ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot, Grok, and Meta AI. helpcenter.scrunchai.com

For an enterprise competitive-intelligence team, that's a very attractive model because you can ask:

"For the 500 prompts that matter to our buyers, what percentage of AI answers mention us versus Salesforce, HubSpot, Adobe, etc., and where are competitors winning that we aren't?"

3. Peec AI — best for a clean marketing analytics experience

Peec AI

Peec has particularly clear definitions around Visibility, Share of Voice, Position, and Sentiment, plus competitor and source analysis. peec.ai

Its SOV is explicitly calculated relative to all tracked-brand mentions, while Visibility measures whether your brand appears at all. That distinction is useful when presenting AI-search performance to executives. peec.ai

What I'd choose

For a Fortune 100 / large B2B enterprise, my order would be:

Profound → Scrunch → Peec

But there's an important nuance:

• Need an enterprise-wide GEO/AEO operating platform: Profound
• Need the strongest competitive SOV/visibility intelligence: Scrunch
• Need an easier-to-use marketing analytics product: Peec
• Need to connect AI visibility to AI crawler/agent traffic and content operations: Profound

I would not select based simply on the headline "AI visibility score." The important enterprise evaluation is whether the platform gives you prompt-level competitive SOV, platform-level breakdowns, citation share, source/domain intelligence, historical trends, geographic/persona segmentation, API/export capability, and enough prompt volume to statistically represent your market.

If you're evaluating these for an actual enterprise purchase, I can also give you a Profound vs. Scrunch vs. Peec enterprise buying matrix covering pricing, coverage, APIs, integrations, prompt scale, SOV methodology, reporting, and weaknesses.

If your goal is specifically enterprise-grade AI assistant visibility + competitive share of voice, my top pick in 2026 is Profound.

My ranking

Why Profound wins: it goes beyond simply counting mentions. It measures visibility score, share of voice, citation share, position, sentiment, and competitor rankings across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, Claude, Copilot, Grok, Meta AI, DeepSeek and others. www.tryprofound.com

Its competitive model is particularly useful: rather than making you manually define your competitors, Profound can identify "true competitors" based on who is actually winning citations in AI answers. You can then drill from category → topic → prompt → competitor → citation. www.tryprofound.comwww.tryprofound.com

It also recently launched the Profound Index, which benchmarks brands against their category using 1.5B+ real user conversations. It distinguishes overall visibility/SOV from mention position, citation share, co-citation and co-mention share—metrics I'd want in an enterprise executive dashboard. www.tryprofound.com

Where Peec is compelling

Peec AI would be my second choice if the primary requirement is a clean, focused AI visibility and competitive-SOV measurement product.

It explicitly tracks:

• AI visibility
• average position
• sentiment
• share of voice
• competitor comparisons
• prompt-level performance
• citation sources
• branded vs. unbranded/commercial intent

peec.ai

Peec is particularly attractive if your SEO/brand team wants an analytics product rather than a larger AI-search operations platform.

What I'd buy for an enterprise

I'd evaluate Profound vs. Peec head-to-head, with the following scorecard:

1. Cross-model coverage — ChatGPT, Gemini, Claude, Perplexity, AI Overviews/AI Mode, Copilot, etc.
2. Unbranded prompt coverage — this is critical. Branded visibility can look great while competitors dominate actual buyer discovery.
3. Competitive SOV methodology — ask exactly how SOV is calculated.
4. Prompt-level competitor analysis — "Competitor X beats us" isn't actionable; "Competitor X beats us on these 37 high-value prompts" is.
5. Citation share — who AI considers authoritative matters almost as much as who it mentions.
6. Geography/persona segmentation — especially important for a global enterprise.
7. Historical trend data — you want to establish a baseline and measure whether SOV is actually improving.
8. API/BI integration — ideally push data into your existing marketing/SEO analytics stack.
9. Real-user prompt data — extremely valuable for deciding which prompts to monitor rather than inventing a keyword list.
10. Enterprise governance/security — SSO, permissions, auditability, SOC 2, contractual data controls, etc.

The metric framework I'd use

Don't make "AI mentions" your north-star metric. I'd build the enterprise dashboard around:

AI Share of Voice → Visibility → Position → Citation Share → Sentiment → Revenue impact

For example:

Category SOV: 18%
#2 competitor: 24%
Visibility: 31% of relevant answers
Avg. mention position: 2.7
Citation share: 11%
Positive sentiment: 87%
High-intent prompt SOV: 14%

That tells leadership much more than "ChatGPT mentioned us 4,000 times."

Bottom line:

• Choose Profound if this is a serious enterprise program and competitive intelligence is central to the requirement.
• Choose Peec if you want a more focused, straightforward visibility/SOV analytics experience.
• I'd avoid choosing based primarily on number of AI engines; prompt quality, competitive methodology, citation intelligence, and historical data quality matter more.

If you tell me your industry, approximate enterprise size, and whether this is for SEO, brand, product marketing, or an executive AI-search program, I can narrow this to a 3-vendor enterprise shortlist with estimated pricing, strengths/weaknesses, and the exact evaluation questions I'd use in an RFP.

If your goal is specifically enterprise-grade tracking of how your brand appears in AI assistants and measuring competitive share of voice, my current shortlist would be:

🥇 My pick: Profound

For a large enterprise, I'd start with Profound. Independent 2026 comparisons consistently put it in the enterprise tier, particularly for competitive benchmarking and deeper AI-search analytics. www.xseek.iomentionsapi.com

The important distinction is that you don't just want a "does ChatGPT mention us?" tracker. You want to answer:

• What % of relevant AI answers mention us?
• How does our share of voice compare with each competitor?
• Which prompts / buying journeys are we winning or losing?
• Which AI engines are driving the difference?
• Which competitors are replacing us in answers?
• What sources/citations are causing competitors to appear?
• Is our SOV improving over time?
• Can marketing/SEO/product teams actually act on the gaps?

Profound is particularly compelling if you need this at enterprise scale across many brands, markets, products and prompt sets.

Peec is the one I'd benchmark against it

Peec AI is probably the most interesting alternative if you want sophisticated competitive visibility without necessarily buying the most enterprise-heavy platform. Current comparisons characterize it as particularly strong for analytics and competitive benchmarking. mentionsapi.com

I'd put Profound vs. Peec at the top of an RFP.

Don't over-index on the SOV number

This is actually the biggest caveat I'd have with the category.

AI answers are nondeterministic, and the prompt universe matters enormously. A platform can give you a beautifully precise "32.4% SOV" number that isn't especially meaningful if the underlying prompts aren't representative of your customers.

I'd therefore evaluate vendors on whether they let you build a defensible prompt universe around:

1. Category discovery
2. Problem/solution searches
3. Brand/product searches
4. "Best X" / alternatives / comparison prompts
5. High-intent purchase prompts
6. Industry-specific questions
7. Competitor-specific prompts

Then measure SOV by journey, topic, competitor and AI engine, rather than one blended score. This is also consistent with practitioner feedback that prompt-level competitive gaps are considerably more actionable than aggregate SOV. www.reddit.com

What I'd put in an enterprise RFP

I'd score each vendor on these dimensions:

40% — Measurement quality

• Prompt coverage
• Repeatability / statistical methodology
• SOV calculation
• Mention vs. citation distinction
• Position/prominence
• Sentiment
• Engine-level reporting

25% — Competitive intelligence

• Competitor benchmarking
• "Why did competitor X win?"
• Source/citation comparison
• Competitive gap identification
• Category/topic-level SOV

15% — Enterprise

• Multiple brands/products/markets
• Permissions
• API
• BI/data warehouse integration
• Historical data
• Reporting

10% — Actionability

• Recommended content changes
• Citation/source opportunities
• Content gap analysis
• Workflow integrations

10% — Business impact

• AI referral traffic
• Conversion/pipeline attribution
• Ability to connect visibility → traffic → revenue

That last category is still a weakness across much of the market: most platforms are substantially better at telling you "you're visible" than "this visibility generated $X of pipeline." attrifast.com

Bottom line: If you're an enterprise and this is becoming a serious marketing/SEO intelligence capability, I'd shortlist Profound and Peec first, then use Otterly as a lower-cost benchmark. I wouldn't choose based on the headline SOV dashboard; I'd run the same 200–500 high-value prompts through each and compare competitor displacement, citation sources, engine-level SOV, reproducibility, and downstream business attribution.

If you tell me your industry, approximate number of brands/products, and which assistants matter most (ChatGPT, Gemini, Claude, Perplexity, Copilot, Google AI Overviews, etc.), I can give you a much more specific Profound vs. Peec vs. Otterly recommendation and an enterprise RFP scorecard.

If you mean AI-search / LLM visibility—i.e., “How often does ChatGPT, Gemini, Perplexity, etc. mention/recommend us vs. competitors?”—my shortlist for an enterprise is:

My pick: Profound

For a large enterprise, I'd start with Profound. Its competitive benchmarking is unusually comprehensive: it tracks visibility rank, citation share, share of voice, sentiment and position, and lets you identify competitors based on who is actually winning AI citations—not merely the competitors you've manually entered. It also covers ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot, Grok, Meta AI and DeepSeek. www.tryprofound.com

That makes it particularly useful if your question is:

“What percentage of AI-generated answers in our category do we own, who is taking the rest, and where are we losing?”

Profound

Peec AI is the strongest alternative

I'd put Peec AI very close behind if your primary requirement is clean competitive share-of-voice reporting. It explicitly measures visibility, position, sentiment and SOV, lets you build a prompt library, compare competitors, segment branded/unbranded/commercial prompts, and identify the sources AI engines rely on. peec.ai

Peec AI

Scrunch is worth evaluating

Scrunch takes a slightly different approach: its “competitive presence” metric is the percentage of AI responses mentioning your brand versus competitors, and it lets you drill down by platform, topic, prompt, persona, funnel stage and country. It also separates brand presence from citation presence, which is important analytically. scrunch.com

Scrunch

One important caveat

Don't choose based solely on the headline “AI share of voice.” LLM outputs are nondeterministic: the same prompt can produce different answers and citations at different times. Recent research argues that AI-visibility metrics should be treated as statistical estimates with uncertainty rather than precise fixed numbers. arxiv.org

For an enterprise procurement, I'd therefore require:

1. Repeated sampling, not one response per prompt.
2. Separate brand mention, citation, position, and SOV metrics.
3. Competitor discovery based on actual AI results.
4. Segmentation by prompt/topic/persona/geography/model.
5. Historical trend data and export/API access.
6. Full underlying responses so marketing teams can audit the numbers.
7. Integration into your BI/SEO/content stack.

Bottom line: Profound if this is a strategic enterprise measurement system; Peec AI if SOV analytics and ease of use are the priority; Scrunch if you want particularly strong competitive/citation diagnostics.

If you tell me your industry, approximate number of brands/competitors, and whether this is for SEO, brand, or corporate strategy, I can also give you a Profound vs. Peec vs. Scrunch scorecard with pricing, model coverage, APIs, enterprise/security, and reporting capabilities.

If your goal is specifically enterprise AI-assistant visibility + competitive share of voice, my top pick today is Profound.

My shortlist

Why I'd choose Profound

Profound is unusually well aligned with the question an enterprise CMO/SEO/AEO team actually needs to answer:

“When customers ask AI assistants about our category, how often are we recommended, how does that compare with competitors, and why are competitors winning?”

Its Answer Engine Insights tracks visibility, share of voice, sentiment, citations, positioning and competitor rankings across major AI experiences. It currently covers ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews/AI Mode, Copilot, Grok, Amazon Rufus, Meta AI and DeepSeek. www.tryprofound.com

Its newer Profound Index is particularly relevant for competitive share of voice: it separates Visibility Score, Share of Voice, Mention Position, Citation Share, Co-citation Share and Co-mention Share, and lets you break results down by topic and LLM. www.tryprofound.com

That's more useful for an enterprise competitive-intelligence program than simply counting brand mentions.

Scrunch is probably #2

Scrunch has a particularly straightforward definition of AI share of voice: the percentage of tracked AI responses mentioning your brand versus competitors. It collects actual AI responses and calculates competitive presence over time. scrunch.com

It monitors nine major platforms, including ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews/AI Mode, Copilot, Grok and Meta AI. helpcenter.scrunchai.com

I'd seriously evaluate Scrunch alongside Profound if brand/market share-of-voice reporting is the primary requirement.

The important caveat

Don't buy based on the headline “AI visibility score.” The methodology matters enormously.

For an enterprise evaluation, I'd make vendors demonstrate these five things using your actual competitors and 50–100 real buyer prompts:

1. Prompt-level competitive SOV — not just an aggregate score.
2. Mention position — are you #1 recommendation or buried in the answer?
3. Citation share — which publishers/sites are causing competitors to win?
4. Model/platform segmentation — ChatGPT vs Gemini vs Claude vs Perplexity, etc.
5. Historical consistency — can you distinguish a real trend from volatile AI responses?

Profound explicitly supports visibility/SOV tracking over time, regions and topics, while Scrunch similarly tracks competitive presence and citations. help.tryprofound.com

My recommendation: if you're a large enterprise and this is going to become a formal AI Search / GEO measurement program, start with Profound, then benchmark it against Scrunch using the same prompt set. If you're already deeply invested in SEO, include Semrush in the bake-off.

If you tell me your industry (e.g. SaaS, financial services, healthcare, retail) and approximate company size, I can give you a more specific Profound vs. Scrunch vs. Semrush comparison, including what I'd use for an enterprise dashboard and the KPIs I'd put on the executive scorecard.

If you're evaluating this for an enterprise, my shortlist would be Profound, Conductor, and Peec AI, with Profound as the strongest default if your primary requirement is competitive AI share of voice rather than general SEO.

My ranking

Recent 2026 comparisons consistently put Profound among the enterprise leaders, while Conductor positions itself as an enterprise-wide SEO/AI visibility platform and Peec is particularly strong for analytics and competitive benchmarking. mentionsapi.com

🥇 I'd start with Profound

For your specific use case—"How much of the AI answer space do we own versus competitors?"—Profound is probably the platform I'd put through an enterprise evaluation first.

You want to be able to measure things like:

• Share of voice by category, topic, prompt, and competitor
• Brand mention rate and position
• Recommendation rate — not merely whether you're mentioned
• Competitive visibility over time
• Which prompts cause competitors to appear instead of you
• Citation/source share — which publications/sites AI systems rely on
• Visibility by AI engine: ChatGPT, Gemini, Perplexity, Google AI experiences, etc.
• Sentiment/perception and how the AI describes your brand
• Enterprise-scale prompt sets and reporting

That's important because AI visibility isn't equivalent to traditional SEO rank. AI systems can produce different answers to the same query, and recent research shows substantial variability in citation rankings across repeated measurements. A serious enterprise platform therefore needs enough sampling and good methodology—not just a single "AI rank" number. arxiv.org

When I'd choose Conductor instead

If you're already running a substantial enterprise SEO/content organization, I'd look hard at Conductor.

Its advantage is less "pure-play AI monitoring" and more putting AI visibility alongside your existing organic-search/content intelligence. Conductor currently positions itself as its enterprise winner in its own evaluation of AI visibility platforms. mentionsapi.comwww.conductor.com

When Peec is more attractive

Peec AI is worth putting in the bake-off if your marketing/strategy team cares heavily about competitive analytics and visualization and doesn't need the breadth of an enterprise SEO suite.

Current comparisons characterize Peec as particularly strong for mid-market analytics, while Profound is more enterprise-oriented. mentionsapi.com

One important caveat

I'd not buy based on a vendor's headline "AI visibility score."

For an enterprise, I'd make vendors demonstrate your own measurement framework:

AI Share of Voice = your brand's weighted appearances / total weighted appearances across a defined competitive set

Then segment it by:

Market → customer journey → prompt → AI engine → competitor → position → recommendation → citation

And I'd require repeat sampling of prompts. The underlying AI answers are stochastic, so a platform claiming that your SOV moved from 17% → 19% needs to show that the difference is larger than its measurement noise. arxiv.org

Also, don't restrict the measurement to ChatGPT. Current usage data shows ChatGPT remains dominant, but Gemini has been gaining meaningful share, and different assistants have materially different usage patterns. learn.g2.com

Bottom line:
Profound → best first enterprise evaluation for dedicated AI visibility + competitive SOV.
Conductor → best if you want AI visibility integrated with enterprise SEO.
Peec AI → best alternative if competitive analytics are the centerpiece.

If you tell me your industry, approximate company size, number of brands/markets, and whether you already use Semrush/Ahrefs/Conductor, I can narrow this to a 2–3 vendor enterprise RFP shortlist and give you the exact criteria I'd use to score them.

For an enterprise looking to track AI assistant visibility and competitive share of voice (SOV)—meaning “when customers ask ChatGPT, Gemini, Claude, Perplexity, etc., how often are we mentioned vs. competitors?”—the strongest options today are:

peec.ai

My shortlist by enterprise use case

1. Best overall enterprise choice: Profound
Choose this if you need:

• Board-ready reporting
• Competitive share-of-voice dashboards
• Tracking across multiple AI assistants
• Enterprise security requirements (SSO, compliance, access controls)
• A platform that can become the system of record for “AI search visibility”

Profound specifically positions its platform around visibility scores, share of voice, sentiment, citations, competitor rankings, and broad answer-engine coverage. www.tryprofound.com

2. Best for marketing intelligence teams: Peec AI
Choose this if your team is primarily asking:

• “Which prompts mention us?”
• “Where are competitors winning?”
• “Which topics do we need to improve?”
• “Are our campaigns increasing AI visibility?”

Peec focuses on AI search analytics with metrics like visibility, position, sentiment, and competitor comparisons. peec.ai

3. Best if AI visibility is part of broader digital presence management: Yext
Choose this if you already care about:

• Brand facts and listings
• Local/entity data consistency
• Managing how AI systems discover and represent your organization

peec.aiwww.yext.com

What I would evaluate in an enterprise RFP

A good AI visibility/SOV platform should measure:

• AI mention share: % of relevant prompts where your brand appears
• Competitive SOV: your mentions vs. named competitors
• Citation share: which sources AI assistants rely on
• Sentiment: whether AI describes you positively or negatively
• Prompt-level tracking: the exact questions customers ask
• Model coverage: ChatGPT, Gemini, Claude, Perplexity, Copilot, AI Overviews, etc.
• Geography/language segmentation
• Historical trends: whether visibility is improving
• Workflow integration: Jira, Slack, BI tools, CMS, SEO platforms

Recommendation by company size

• Fortune 1000 / regulated enterprise: start with Profound
• Enterprise marketing team focused on GEO: compare Profound vs. Peec AI
• SEO team adding AI visibility to existing stack: evaluate Peec AI plus your SEO platform
• Brand operations / local enterprise: consider Yext

If you are selecting for a CMO dashboard, SEO/GEO team, or competitive intelligence function, the winner can differ significantly.

If you mean enterprise-grade measurement of how your brand appears in ChatGPT/Gemini/Claude/Perplexity and how that visibility compares with competitors, my shortlist in 2026 would be:

🥇 My pick: Profound

Profound

Profound is the one I'd evaluate first for a large enterprise. It is positioned specifically around enterprise AI-search analytics, with prompt-level visibility, competitive benchmarking, citation/source analysis and increasingly an optimization/execution layer. Multiple 2026 comparisons put it at the enterprise end of this market. www.trylyra.aiwww.stork.ai

The important distinction is that you're not really buying a "rank tracker for ChatGPT." You want a measurement system that can answer:

• Share of voice: What percentage of relevant AI answers mention us vs. competitors?
• Share of answer: When we're mentioned, how prominently are we represented?
• Prompt/category coverage: Which customer questions produce visibility for us?
• Competitive displacement: Where does a competitor appear instead of us?
• Citation share: Which domains/sources are feeding the AI answers?
• Sentiment/perception: How does the assistant characterize us?
• Trend: Are we gaining or losing visibility over time?
• Attribution: Does increased AI visibility translate into AI-referred traffic/conversions?

Profound appears strongest when you need to operationalize those measurements across a large organization rather than simply check whether your company was mentioned. www.tryprofound.com

🥈 Peec AI — worth a serious bake-off

Peec AI

If your primary requirement is competitive intelligence and share-of-voice measurement, I'd put Peec directly against Profound. Current comparisons characterize Peec as particularly strong on analytics and competitive visibility, while generally positioning it below Profound on enterprise depth. www.stork.ai

What I'd demand in an enterprise RFP

This is actually more important than the vendor brand. AI visibility numbers can be surprisingly noisy: identical prompts can generate different answers and citations, so a single-run "SOV = 23.7%" isn't a particularly trustworthy enterprise KPI. Recent research specifically recommends treating generative-search visibility as a statistical estimate with uncertainty rather than a fixed number. arxiv.orgwww.reddit.com

I'd require:

1. Repeated sampling, not one response per prompt.
2. A fixed, auditable prompt universe based on actual customer journeys.
3. Competitor-level SOV on the same prompts.
4. Historical trend data.
5. Separate metrics for mention, recommendation, citation and prominence.
6. Coverage across ChatGPT, Gemini, Claude, Perplexity and Google AI experiences relevant to your audience.
7. Raw prompt/response/citation data available for auditing.
8. API/export capability for your BI stack.
9. Geographic/language segmentation.
10. Confidence intervals or some other treatment of response variability.

I'd also avoid choosing a vendor based solely on the prettiest SOV dashboard. The quality of the prompt universe and sampling methodology matters enormously; otherwise you can get a very precise-looking answer to the wrong question. arxiv.orgwww.reddit.com

Bottom line: If I were running an enterprise evaluation today, I'd start with Profound vs. Peec, with Scrunch as the third platform if the SEO/GEO execution workflow matters. For pure "measure our competitive share of voice in AI assistants", I'd give Peec a particularly close look; for the broader enterprise AI visibility + intelligence + optimization platform, I'd lean Profound.

For a large enterprise, there isn't a single clear winner yet, but there is a clear top tier. The right choice depends on whether you primarily want executive reporting, competitive intelligence, or optimization workflows.

Here's how I'd evaluate the market today:

1. Profound — Best overall for enterprises

This is probably the current enterprise leader.

Strengths include:

• AI visibility across ChatGPT, Gemini, Claude, Perplexity, Copilot, AI Mode, and more
• Competitive Share of Voice
• Prompt-level tracking
• Citation analysis
• Executive dashboards
• Enterprise security (SSO, SOC 2, HIPAA options)
• APIs and integrations
• Content recommendations based on visibility gaps

Profound is especially strong when executives ask questions like:

• "Why did Competitor A suddenly appear more often?"
• "Which prompts are driving AI recommendations?"
• "Which sources are influencing ChatGPT?"

It has the deepest enterprise feature set among the dedicated AI visibility vendors. www.tryprofound.com

2. Peec AI — Best pure Share-of-Voice platform

If your primary KPI is:

• AI Share of Voice
• Competitive benchmarking
• Brand mentions
• Rankings inside LLM answers

Peec is excellent.

It tracks:

• Visibility %
• Position
• Sentiment
• Share of Voice
• Competitor comparisons
• Prompt monitoring
• Citation sources

Its dashboards are among the clearest in the category. peec.ai

3. Goodie

Goodie has expanded quickly.

Nice enterprise capabilities include:

• geography segmentation
• persona segmentation
• multilingual monitoring
• brand sentiment
• competitive visibility
• daily monitoring
• enterprise brand portfolios

If you're a Fortune 500 with multiple brands or markets, it's worth evaluating. higoodie.com

4. Conductor

If your organization already runs SEO on Conductor, adding AI visibility can be operationally simpler than introducing another vendor.

Benefits include:

• unified SEO + AI reporting
• AI referral analysis
• enterprise governance
• familiar workflows for SEO teams

For organizations already invested in Conductor, the integration advantage can outweigh feature differences. www.conductor.com

Features I'd require for an enterprise evaluation

Don't choose based only on "number of AI models."

Instead, evaluate whether the platform provides:

• Prompt-level tracking (not just aggregate scores)
• Competitive Share of Voice by topic
• Citation/source analysis
• Historical trend reporting
• Geography and language segmentation
• Executive dashboards
• API access
• Export capabilities
• SSO and enterprise security
• Custom prompt libraries
• AI model coverage (ChatGPT, Gemini, Claude, Perplexity, Copilot, Google AI Mode)
• Alerting when competitors gain visibility
• Attribution tying AI visibility to traffic or business outcomes (where available)

One important caveat

Current AI visibility metrics are directional rather than absolute. Most vendors measure visibility by running a curated library of prompts against multiple AI models and tracking how often brands appear. That means results depend on:

• the quality and representativeness of the prompt set,
• the models being monitored, and
• how frequently measurements are collected.

For that reason, long-term trends and competitor comparisons are generally more informative than treating a single "AI Share of Voice" percentage as an exact market measurement. This is a common point raised by practitioners testing these tools. www.reddit.com

My recommendation for a Fortune 1000 enterprise

• Best overall: Profound
• Best for competitive Share of Voice: Peec AI
• Best if you're already a Conductor customer: Conductor AI Visibility
• Best for multi-brand/global organizations: Goodie

If you're running a formal procurement process, I'd recommend evaluating Profound, Peec AI, Goodie, and Conductor side by side using the same prompt library and comparing:

1. Accuracy and consistency of results,
2. Depth of competitive insights,
3. Executive reporting quality,
4. Workflow integrations, and
5. Total cost of ownership over 2–3 years.

For an enterprise trying to measure AI assistant visibility (ChatGPT, Claude, Gemini, Perplexity, Copilot, etc.) and competitive share of voice (SOV), the market is still emerging. The best platform depends on whether you care most about brand monitoring, SEO/AEO, enterprise governance, or competitive intelligence.

Here are the strongest options:

My shortlist for a large enterprise

1. Best dedicated AI visibility/SOV platform: Profound

• Purpose-built for “how does my brand show up in AI answers?”
• Useful metrics:
  • AI share of voice
  • competitor mentions
  • recommendation frequency
  • sentiment
  • citation sources
  • prompt-level tracking
• Good fit for marketing, SEO, brand, and product teams.

2. Best enterprise SEO + AI strategy stack: BrightEdge or Semrush

• Better if AI visibility is part of a broader search strategy.
• Useful for connecting:
  • traditional rankings
  • content performance
  • AI search opportunities
  • competitive keyword intelligence

3. Best for executive reputation monitoring: Brand24 + an AI visibility tool

• AI assistants increasingly influence brand perception, but executives often also need:
  • social sentiment
  • news mentions
  • reputation trends

Enterprise evaluation criteria

When comparing vendors, I would score them on:

AI engine coverage

• ChatGPT
• Google Gemini
• Microsoft Copilot
• Claude
• Perplexity
• AI Overviews

Measurement quality

• % of prompts where brand appears
• rank/order in recommendations
• competitor share of mentions
• sentiment
• accuracy of citations
• change over time

Enterprise capabilities

• SSO/security reviews
• API access
• multiple business units/regions
• workflow integrations
• reporting dashboards

Prompt intelligence
The best tools let you define a “prompt universe,” such as:

• “best CRM for enterprise”
• “top cybersecurity platforms”
• “alternatives to [brand]”
• “companies like [brand]”

Then they measure who wins those AI conversations.

Recommended enterprise stack

For a Fortune 1000-style organization, I would typically evaluate:

1. Profound → AI answer visibility + SOV
2. BrightEdge or Semrush → SEO/content intelligence
3. Similarweb → competitive market context
4. Internal analytics/data warehouse → executive reporting

The category is moving quickly, so I would prioritize vendors that can show prompt-level evidence (the actual AI response, competitors mentioned, and citations) rather than only giving a visibility score.

For an enterprise looking to track AI assistant visibility, measure competitive share of voice (SOV), and understand how brands appear in ChatGPT, Gemini, Claude, Perplexity, Copilot, and other AI answer engines, the market is still emerging. The best platforms depend on whether you care more about SEO-style visibility tracking, brand reputation, enterprise reporting, or AI search optimization (AIO/GEO).

Here are the leading options:

My enterprise shortlist

1. Best overall for AI assistant visibility: Profound

Profound is currently one of the most purpose-built platforms for this category.

Good for:

• "How often does ChatGPT mention our company?"
• "Which competitors appear more frequently?"
• "What sources are AI models citing?"
• "What prompts cause us to win or lose visibility?"
• Executive AI visibility dashboards

Typical enterprise use cases:

• CMO/brand reporting
• Competitive intelligence
• Product category monitoring
• AI search optimization programs

2. Best if you already have enterprise SEO: BrightEdge

BrightEdge is attractive if your organization already runs SEO at scale.

Advantages:

• Existing SEO governance
• Enterprise reporting workflows
• Integration with content teams
• Combines traditional search and AI search trends

3. Best marketing intelligence stack: Similarweb + AI visibility tool

Similarweb is useful when leadership asks broader questions:

• "Is AI changing our category demand?"
• "Who owns consumer attention?"
• "Are competitors gaining discovery share?"

Pairing it with a dedicated AI visibility tracker gives a more complete market picture.

Metrics an enterprise should track

A good platform should measure:

AI Share of Voice

• % of AI responses mentioning your brand
• Competitor comparison
• Category ranking

Citation Share

• How often AI systems cite your:
  • website
  • documentation
  • reviews
  • third-party sources

Prompt Coverage

• Which customer questions trigger:
  • your brand
  • competitors
  • no brand

Sentiment / Position

• Recommended vs neutral vs negative mentions
• Placement in answers (first recommendation vs passing mention)

Model coverage
At minimum:

• ChatGPT
• Google Gemini
• Claude
• Perplexity
• Microsoft Copilot

Buying recommendation by enterprise maturity

Fortune 1000 / global brand
→ Profound + existing SEO platform (BrightEdge, enterprise Semrush, etc.)

Large B2B company
→ Profound or Scrunch AI + content intelligence

SEO team expanding into AI search
→ BrightEdge or Semrush ecosystem

Competitive intelligence team
→ Similarweb + AI visibility monitoring

Early AI search program
→ Otterly.AI or similar lightweight trackers

One caution: AI visibility metrics are not yet standardized like Google rankings. The strongest platforms are those that let you define a repeatable prompt universe, monitor it over time, and compare against competitors using the same questions.

For an enterprise procurement evaluation, I would create a scorecard around:

1. model coverage,
2. prompt volume,
3. competitor benchmarking,
4. citation/source analysis,
5. API/data export,
6. security and SSO,
7. executive reporting.

For a large enterprise, the strongest platforms today are those built specifically for AI answer engines (ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, etc.), not traditional SEO platforms.

Here's how I'd compare the leading options:

If your primary KPI is competitive share of voice

I would prioritize:

1. Profound
2. Goodie
3. Gumshoe

All three measure metrics such as:

• AI share of voice
• Brand recommendation frequency
• Competitive rankings
• Citation sources
• Visibility by AI model
• Visibility over time
• Topic- and persona-level performance

Those are becoming the standard metrics for AI search optimization (sometimes called GEO, AEO, or AI Search Optimization). help.tryprofound.com

For a Fortune 500 or enterprise procurement

I'd evaluate vendors against these capabilities rather than marketing claims:

• Coverage across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Copilot, Grok, etc.
• Ability to define your own prompt library instead of relying on generic prompts
• Share of voice by competitor and topic
• Historical trending and alerting
• Citation/source analysis (which websites influence AI answers)
• Geography and language segmentation
• Persona-specific reporting
• API access and data export
• SSO, SOC 2, audit logs, and enterprise security
• Ability to compare business units, products, or brands

My recommendation by company size

• Global enterprise (Fortune 500): Profound
• Enterprise focused on AI optimization workflows: Goodie
• Fast-moving marketing teams or agencies: Gumshoe

One thing to keep in mind is that no platform can measure a true "market share" inside LLMs because responses are probabilistic. The best platforms instead run large, repeatable prompt sets over time to estimate visibility and competitive share of voice using consistent methodologies. That makes trends and competitor comparisons much more meaningful than any single AI response. help.tryprofound.com

For a large enterprise, the leaders today are Profound, Brandlight, and Peec AI, with different strengths depending on whether your priority is executive reporting, competitive intelligence, or marketing execution.

What an enterprise should measure

The best programs don't stop at "Does ChatGPT mention us?" They typically monitor:

• AI Share of Voice against key competitors
• Brand visibility across ChatGPT, Gemini, Claude, Perplexity, Copilot, and other major assistants
• Prompt-level performance (which customer questions you win or lose)
• Citation sources (which websites AI relies on when mentioning competitors)
• Brand sentiment and positioning
• Trend analysis over time by geography, product, and business unit
• Alerts when competitive positioning changes

These capabilities are now common across the leading enterprise platforms. help.tryprofound.com

My recommendations by company size

• Fortune 500 / Global Enterprise: Profound
  • Best overall for executive dashboards, competitive intelligence, governance, and board-level reporting.

• Global consumer brands: Brandlight
  • Particularly strong if you need multilingual monitoring and regional comparisons.

• B2B SaaS or enterprise software: Peec AI
  • Excellent balance of visibility tracking, prompt intelligence, and actionable insights.

One important consideration

No platform has perfect coverage because AI assistants generate responses probabilistically. The strongest teams treat share of voice as a directional trend, not an exact percentage, and invest heavily in building a representative prompt library for their market. The quality of the tracked prompts often has a bigger impact than the dashboard itself. help.tryprofound.comwww.reddit.com

If you're evaluating vendors, I'd ask them to demonstrate:

1. Coverage across all AI assistants you care about
2. How they build and refresh prompt sets
3. Whether they expose the actual prompts and responses (not just aggregate scores)
4. Citation/source attribution
5. API access for BI tools like Tableau, Power BI, or Looker
6. Historical trend data and alerting
7. Multi-brand and multi-market support

For most enterprise evaluations in 2026, Profound is generally viewed as the market leader, with Brandlight and Peec AI close behind depending on your specific requirements and budget.